Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<JATS1:p>Baseball is increasingly popular throughout the world, as evidenced by the many talented players (such as Ichiro Suzuki, Miguel Cabrera, Albert Pujols, and Hideki Matsui) coming to the Major Leagues from around the globe. The influx of such players is testament to the many high-quality professional and amateur leagues that thrive throughout the world. In this reference book—the first of its kind— narrative chapters trace the history of baseball in Australia, Canada, Cuba, Dominican Republic, Japan, Mexico, Puerto Rico, Venezuela, and throughout the rest of the world. Bjarkman profiles the teams and leading players from each country. He also covers the history of tournament play throughout the world, including Olympic baseball. This volume provides an invaluable and unprecedented source on the growth of America's national pastime into a global phenomenon that one day might feature a true World Series. Backmatter includes a chronology of important events, an annotated bibliography, and contact information for official baseball federations throughout the world.</JATS1:p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it